Huda Ahmad

The paper shows that combining biotin biosynthesis inhibition with metformin reduces Pseudomonas aeruginosa virulence and restores antibiotic sensitivity by targeting metabolic pathways.

This study uses chemical genomics to identify gene-phenotype relationships in Vibrio cholerae by screening 104 stress conditions across 3,026 single-gene mutants, revealing 1,518 significant growth phenotypes including 88 unannotated genes.

The paper identifies a type VII-secreted toxin in mycobacteria that enables inter-bacterial competition by targeting arabinogalactan.

This paper characterizes genome-environment interactions in Klebsiella pneumoniae using chemical genomics and machine learning to predict fitness across diverse conditions.

ChemGenXplore provides an interactive web tool for visualizing and analyzing chemical genomic data, enabling users to explore pre-implemented and uploaded datasets with various analytical features.

The paper uses machine learning to predict plasmid permissiveness in wastewater microbiomes from 16S rDNA sequences, showing moderate-to-strong correlations with experimental data.